{"title":"Non-Uniform Deblurring for Simple Lenses Imaging System","authors":"Xiaotian Wu, Hang Yang, Bo Liu, Xianzhu Liu","doi":"10.1109/AEMCSE50948.2020.00066","DOIUrl":null,"url":null,"abstract":"As a sub-topic in computational imaging, simple lenses imaging provides an alternative way to achieve a close-to-perfect imaging system design, which simplifies the complex, multiple lens elements optical system to one simple lenses, and delivers the aberration correction process to a dedicated reconstruction algorithm. In this paper, we propose an effective blind restoration algorithm for optical aberrations removal without calibrate procedure. In general, our algorithm consists of two steps: a blind non-uniform PSFs estimation and a non-blind reconstruction. The algorithm can be directly used for simple lenses imaging system, and further utilized for aberrations removal cases in traditional optical imaging equipment. We obtain results that are comparative with the pre-calibrate non-blind restoration.","PeriodicalId":246841,"journal":{"name":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","volume":"183 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 3rd International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AEMCSE50948.2020.00066","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
As a sub-topic in computational imaging, simple lenses imaging provides an alternative way to achieve a close-to-perfect imaging system design, which simplifies the complex, multiple lens elements optical system to one simple lenses, and delivers the aberration correction process to a dedicated reconstruction algorithm. In this paper, we propose an effective blind restoration algorithm for optical aberrations removal without calibrate procedure. In general, our algorithm consists of two steps: a blind non-uniform PSFs estimation and a non-blind reconstruction. The algorithm can be directly used for simple lenses imaging system, and further utilized for aberrations removal cases in traditional optical imaging equipment. We obtain results that are comparative with the pre-calibrate non-blind restoration.